Abstract: Hyperspectral anomaly detection (HAD) aims to identify and locate anomalous targets in hyperspectral image (HSI) data that are significantly different from the surrounding background or ...

This project trains machine learning models to predict cancer malignancy and, if malignant, classify the subtype. It provides a Streamlit app with three modes: manual input, CSV upload, and accuracy ...

Abstract: Keypoint detection and description from multisensor or multimodal images are fundamental to image registration and its downstream tasks. However, nonlinear radiometric differences, ...

THESE are the images of where a vape shop in Barrow concealed large quantities of illegal tobacco products. Earlier this month, trading standard officers from the council visited Easy Shop with a ...